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FalaZuki Finance BR

can_i_quit_job

Quantifica a consequência financeira de sair do emprego CLT hoje, no caminho escolhido (pedir demissão, acordo mútuo ou dispensa sem justa causa): a rescisão líquida do tipo, o FGTS sacável, o seguro-desemprego quando aplicável, o caixa total decomposto POR ORIGEM e o fôlego em meses (runway) contra o gasto mensal. Caminhos sem direito a uma verba a declaram como pulada com o motivo, nunca a somam. Não decide por ninguém: mede o fôlego.

Input Schema

TableJSON Schema
NameRequiredDescriptionDefault
salaryYesSalário bruto mensal atual, em R$
dependentsNoDependentes para o IRRF das verbas tributáveis
fgts_balanceNoSaldo acumulado do FGTS, em R$
works_noticeNoNo pedido de demissão: vai cumprir os 30 dias de aviso? Não cumprir autoriza o desconto de até um salário
months_workedYesMeses de casa na empresa atual
severance_typeYesO caminho da saída: resignation (pedir demissão), mutual_agreement (acordo do art. 484-A) ou without_cause (dispensa sem justa causa)
current_reserveNoReserva financeira já guardada, em R$
times_requestedNoQuantas vezes já pediu seguro-desemprego (muda a carência)
monthly_expensesYesGasto mensal essencial, em R$
security_target_monthsNoMeta de segurança, em meses de gasto coberto

TDQS

A3.9/5.0
Behavior4/5

Does the description disclose side effects, auth requirements, rate limits, or destructive behavior?

With no annotations provided, the description carries the full burden and does substantial work: it discloses that entitlements not applicable to a path are skipped with a reason rather than summed, that the result is decomposed by origin, and that the tool only measures runway and does not make the decision for the user. It could add more about tax handling or whether the current reserve is included, but the core behavioral traits are clearly stated.

Agents need to know what a tool does to the world before calling it. Descriptions should go beyond structured annotations to explain consequences.

Conciseness4/5

Is the description appropriately sized, front-loaded, and free of redundancy?

The description is front-loaded with the main verb and purpose, and every sentence adds value: the first defines scope and outputs, the second explains the skip-with-reason behavior, and the third clarifies the tool's non-decisional stance. The only minor flaw is the dense, single-sentence enumeration with heavy parentheticals and the stylized 'POR ORIGEM', which makes it slightly harder to parse than necessary.

Shorter descriptions cost fewer tokens and are easier for agents to parse. Every sentence should earn its place.

Completeness4/5

Given the tool's complexity, does the description cover enough for an agent to succeed on first attempt?

For a complex tool with 10 parameters, no annotations, and no output schema, the description provides a solid conceptual picture: what is calculated, how unavailable benefits are treated, and what the result means (runway). It does not explicitly explain how parameters like dependents, works_notice, or security_target_months affect the result, but the schema covers those details well enough that the agent can still select and invoke the tool correctly.

Complex tools with many parameters or behaviors need more documentation. Simple tools need less. This dimension scales expectations accordingly.

Parameters3/5

Does the description clarify parameter syntax, constraints, interactions, or defaults beyond what the schema provides?

The input schema already documents all 10 parameters with 100% coverage, including ranges and defaults, so the description need not repeat them. The description adds no direct parameter-level detail, but its explanation of the output decomposition (FGTS sacável, caixa total por origem, runway) indirectly clarifies why parameters like fgts_balance and monthly_expenses matter. This aligns with the baseline 3 for high schema coverage.

Input schemas describe structure but not intent. Descriptions should explain non-obvious parameter relationships and valid value ranges.

Purpose5/5

Does the description clearly state what the tool does and how it differs from similar tools?

The description opens with a specific verb ('Quantifica') and a precise resource ('a consequência financeira de sair do emprego CLT hoje'), then enumerates the outputs: liquid severance, withdrawable FGTS, unemployment insurance when applicable, total cash by source, and runway in months. This distinguishes it from sibling calculators like calculate_severance or calculate_unemployment_insurance by framing it as a holistic quit-decision tool rather than a single-component calculation.

Agents choose between tools based on descriptions. A clear purpose with a specific verb and resource helps agents select the right tool.

Usage Guidelines3/5

Does the description explain when to use this tool, when not to, or what alternatives exist?

The use case is strongly implied: it is for someone considering leaving a CLT job today, choosing among resignation, mutual agreement, or dismissal without cause. However, there is no explicit guidance about when to choose this tool over closely related siblings such as calculate_severance, check_severance, or compare_clt_vs_pj, so the agent must infer the boundary.

Agents often have multiple tools that could apply. Explicit usage guidance like "use X instead of Y when Z" prevents misuse.

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TDQS

B3.2/5.0
Disambiguation2/5

Many tools are clearly distinct, but the set contains several near-identical clusters: calculate_dividend_income_goal and calculate_dividend_yield both answer 'how much capital is needed to reach a dividend income target', and calculate_real_salary, calculate_raise_vs_inflation, and calculate_salary_time_value overlap heavily on salary/inflation comparisons. Generic tools like compare_investments and compare_with_cdb also blur the boundary with the many specific yield calculators.

Naming Consistency3/5

Most tools follow a clear verb_noun snake_case pattern with verbs like calculate_, get_, check_, compare_, and advise_. However, the object language is inconsistent (calculate_ganho_capital_imovel alongside calculate_car_affordability), and can_i_quit_job breaks the command-style pattern with a question.

Tool Count1/5

At 114 tools, the server is extremely over-scoped for an MCP surface; an agent cannot reasonably hold all these options in context. The inclusion of a search_calculator tool to route among the others is a strong signal that the tool set itself needs partitioning.

Completeness4/5

The surface is very comprehensive for Brazilian personal finance: employment, taxes, investments, debt, real estate, vehicles, small business, insurance, and market-data queries are all covered. A few minor gaps exist, such as no dedicated generic boleto-fine calculator or consolidated investment comparison engine, but no core workflow feels badly stranded.

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